This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Psychometric properties of the positivity scale in a Latin American sample: positivity as a unidimensional personality variable. [PDF]
Aragón JM +7 more
europepmc +1 more source
Cross-Cultural Adaptation and Psychometric Properties of the Reward-Based Eating Drive Scale (RED-13) and Its Brief Version (RED-5X) in Three European Countries. [PDF]
Poínhos R +12 more
europepmc +1 more source
Italian Validation of the Feedback Orientation Scale: Psychometric Properties and Cultural Adaptation. [PDF]
Lo Piccolo E +2 more
europepmc +1 more source
Psychometric validation of the WHO-5 and WHO-4 well-being index scales for assessing psychological well-being and detecting depression in Japanese school-aged children: a community-based study. [PDF]
Adachi M +8 more
europepmc +1 more source
The Reading Anxiety Scale for children: Development and psychometric properties. [PDF]
Grills AE +5 more
europepmc +1 more source
Translating and Validating the Ghosting Questionnaire (GHOST) into French: Results Against the Romantic Ghosting Scale (RG-C). [PDF]
Jahrami H +4 more
europepmc +1 more source

